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Global Translational Medicine Bioinformatics analysis of dilated cardiomyopathy

Figure 10. The mRNA-miRNA-lncRNA network associated with OGN.

many specific pathogenic genes, providing many clues to gain were only able to analyze the expression profiles of DCM
insight into the pathogenic mechanisms. However, DCM is with heart failure and NF heart tissues, so the DEGs or
a complex disease with multi-gene involvement and diverse even hub genes may include co-expressed genes of heart
clinical manifestations. There is an urgent need for in-depth failure which is caused by factors that are not specific to
genotypic and phenotypic studies in DCM to uncover new DCM with heart failure. Since the sample size of DCM
pathogenic genes in this disease. The translation of these patients is very small and the fact that the samples are
genetic data into clinical practice would effectively help difficult to obtain, we were unable to experimentally
clinical practitioners improve the efficiency of diagnosis and validate the hub genes and the predicted miRNAs
treatment of DCM and improve patient prognosis.
and lncRNAs. Another limitation of this study is that
However, there were some limitations in our study. no clinical information is available for survival and
Due to the limitations of gene expression profiles, we prognosis analysis of the patients. It is expected that other

Volume 1 Issue 1 (2022) 12 https://doi.org/10.36922/gtm.v1i1.104